Principal Associate Data Science - Community Impact & Investment

Key Skills

AWS, Big Data Technology, Data Analysis, Data science techniques, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Scala Programming, SQL, Statistics

Job Description

The Community Impact and Investment Team “CII” contributes to a visible brand reputation that enables Capital One’s business strategy and creates impactful community outcomes through:

• Fueling strategic community investments (e.g. grants, skills, loans)
• Delivering insights, advice and resources that inform Capital One’s products and services
• Activating the capabilities of “impact forward” associates
• Leading enterprise volunteerism and fostering community relationships
• Conducting market research and advising various stakeholders

The Principal, Data Science will work collaboratively with an multidisciplinary team to address real-world problems leveraging the power of data. In this role, you will work on complex applied research projects with the ability to perform in any phase of a project from design to implementation. You will produce objective, scientific analyses and technical reports rooted in data science to guide decision makers on a diverse set of issues. The ideal candidate will bring conceptualization expertise, policy research, applied data science and the ability to tell a compelling story through the synthesis of quantitative and qualitative insights.

In this role, you will:

• Build cutting edge data-products and pipelines to produce novel data that can help tackle pressing issues from a new angle.
• Work at the intersection of data science, technology, and public policy to create new datasets, produce novel analyses, and publish materials that help to provide timely, reliable data and research necessary to inform social impact solutions.
• Conceptualize research studies, and lead and direct multi-disciplinary teams along with demonstrated qualitative and/or quantitative skills.
• Set project standards and monitoring progress, and collaborate in the communication of research findings and results to external and internal audiences and stakeholders.
• Produce objective, scientific analyses and technical reports to guide decision makers on a diverse set of policy and social impact issues.
• Apply rigorous, empirical research designs to analyze a wide array of policy and social impact issues.
• Design, manage and conduct surveys for external research projects.
• Communicate interim and final research findings in a clear, concise, and actionable manner.
• Ensure research findings are rigorously fact-checked against internal and external sources and documented.

The Ideal Candidate is:

• Impact-driven. You dream big. You desire to make the world a better place, and you get energy from working with others with similar passions to accomplish big, bold goals.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• A Conceptual Thinker with a strong quantitative orientation who appreciates that social impact is inherently complex so it requires an understanding of lived experience in addition to academic expertise.
• Wired for Collaboration and Connection: You thrive in a matrixed organization because you know that together we can do better. You’re obsessed with building and cultivating relationships. You love the chance to share your perspective, to hear the perspectives of others, and to figure out how teams can collaborate.

Basic Qualifications:

• Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases

Preferred Qualifications:

• Master’s Degree or PhD in Economics, Data Science, Social Science, Public Policy, Sociology, Psychology, OR a related field with advanced coursework in Statistics and Data Analysis
• At least 1 year of experience writing deliverables which include research findings for public audiences
• At least 1 year of experience managing production of deliverables for deadline-driven publications
• At least 1 year of experience in any of the following work environments: professional publisher, university, think tank, nonprofit organization, content studio, or newsroom
• At least 1 year of experience in any of the following fields: academic publishing, public policy, financial health, or economics
• At least 1 year of experience as a mixed methods (quantitative and qualitative) researcher
• At least 3 years’ experience in Python, Scala, or R for large scale data analysis
• At least 1 year of experience working with AWS
• At least 3 years of experience with machine learning, natural language processing, web scraping or big data platforms
• At least 3 years’ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City:
$161,900 - $184,800 for Data Science PhD

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.